






"""simple docstring"""
import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile

import pyarrow as pa
import pyarrow.parquet as pq
import pytest

import datasets
import datasets.config


@pytest.fixture(scope='session'  )
def 							A						(				)    ->		List[Any]:

       """simple docstring"""





       __magic_name__      				=    1_0
       __magic_name__      				=    datasets.Features(
           {
               'tokens': datasets.Sequence(datasets.Value('string'  )  ),
               'labels': datasets.Sequence(datasets.ClassLabel(names=['negative', 'positive']  )  ),
               'answers': datasets.Sequence(
                   {
                       'text': datasets.Value('string'  ),
                       'answer_start': datasets.Value('int32'  ),
                   }  ),
               'id': datasets.Value('int64'  ),
           }  )
       __magic_name__      				=    datasets.Dataset.from_dict(
           {
               'tokens': [['foo'] * 5] * n,
               'labels': [[1] * 5] * n,
               'answers': [{'answer_start': [9_7], 'text': ['1976']}] * 1_0,
               'id': list(range(__snake_case  )  ),
           } ,     features=__snake_case ,     )
       return dataset


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Any ,     __snake_case: Optional[Any]  )    ->		Optional[Any]:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'file.arrow'  )
       dataset.map(cache_file_name=__snake_case  )
       return filename


# FILE_CONTENT + files


snake_case : Optional[int]     		=		"""\
    Text data.
    Second line of data."""


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Dict  )    ->		List[Any]:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'file.txt'
       __magic_name__      				=    FILE_CONTENT
       with open(__snake_case ,     'w'  ) as f:
              f.write(__snake_case  )
       return filename


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: int  )    ->		Optional[Any]:

       """simple docstring"""





       import bza

       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'file.txt.bz2'
       __magic_name__      				=    bytes(__snake_case ,     'utf-8'  )
       with bza.open(__snake_case ,     'wb'  ) as f:
              f.write(__snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Dict  )    ->		List[Any]:

       """simple docstring"""





       import gzip

       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'file.txt.gz'  )
       __magic_name__      				=    bytes(__snake_case ,     'utf-8'  )
       with gzip.open(__snake_case ,     'wb'  ) as f:
              f.write(__snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: str  )    ->		Optional[int]:

       """simple docstring"""





       if datasets.config.LZ4_AVAILABLE:
              import lza.frame

              __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'file.txt.lz4'
              __magic_name__      				=    bytes(__snake_case ,     'utf-8'  )
              with lza.frame.open(__snake_case ,     'wb'  ) as f:
                     f.write(__snake_case  )
              return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Tuple ,     __snake_case: Optional[int]  )    ->		List[str]:

       """simple docstring"""





       if datasets.config.PY7ZR_AVAILABLE:
              import pyazr

              __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'file.txt.7z'
              with pyazr.SevenZipFile(__snake_case ,     'w'  ) as archive:
                     archive.write(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
              return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: List[str] ,     __snake_case: Dict  )    ->		int:

       """simple docstring"""





       import tarfile

       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'file.txt.tar'
       with tarfile.TarFile(__snake_case ,     'w'  ) as f:
              f.add(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Dict  )    ->		Tuple:

       """simple docstring"""





       import lzma

       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'file.txt.xz'
       __magic_name__      				=    bytes(__snake_case ,     'utf-8'  )
       with lzma.open(__snake_case ,     'wb'  ) as f:
              f.write(__snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Tuple ,     __snake_case: str  )    ->		List[str]:

       """simple docstring"""





       import zipfile

       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'file.txt.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: str  )    ->		List[str]:

       """simple docstring"""





       if datasets.config.ZSTANDARD_AVAILABLE:
              import zstandard as zstd

              __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'file.txt.zst'
              __magic_name__      				=    bytes(__snake_case ,     'utf-8'  )
              with zstd.open(__snake_case ,     'wb'  ) as f:
                     f.write(__snake_case  )
              return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Union[str, Any]  )    ->		Optional[int]:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'file.xml'
       __magic_name__      				=    textwrap.dedent(
           '\\n    <?xml version="1.0" encoding="UTF-8" ?>\n    <tmx version="1.4">\n      <header segtype="sentence" srclang="ca" />\n      <body>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 1</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 1</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 2</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 2</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 3</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 3</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 4</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 4</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 5</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 5</seg></tuv>\n        </tu>\n      </body>\n    </tmx>'  )
       with open(__snake_case ,     'w'  ) as f:
              f.write(__snake_case  )
       return filename


snake_case : List[str]     		=		[
    {"""col_1""": """0""", """col_2""": 0, """col_3""": 0.0},
    {"""col_1""": """1""", """col_2""": 1, """col_3""": 1.0},
    {"""col_1""": """2""", """col_2""": 2, """col_3""": 2.0},
    {"""col_1""": """3""", """col_2""": 3, """col_3""": 3.0},
]
snake_case : Dict     		=		[
    {"""col_1""": """4""", """col_2""": 4, """col_3""": 4.0},
    {"""col_1""": """5""", """col_2""": 5, """col_3""": 5.0},
]
snake_case : Optional[Any]     		=		{
    """col_1""": ["""0""", """1""", """2""", """3"""],
    """col_2""": [0, 1, 2, 3],
    """col_3""": [0.0, 1.0, 2.0, 3.0],
}

snake_case : List[Any]     		=		[
    {"""col_3""": 0.0, """col_1""": """0""", """col_2""": 0},
    {"""col_3""": 1.0, """col_1""": """1""", """col_2""": 1},
]

snake_case : Union[str, Any]     		=		[
    {"""col_1""": """s0""", """col_2""": 0, """col_3""": 0.0},
    {"""col_1""": """s1""", """col_2""": 1, """col_3""": 1.0},
    {"""col_1""": """s2""", """col_2""": 2, """col_3""": 2.0},
    {"""col_1""": """s3""", """col_2""": 3, """col_3""": 3.0},
]


@pytest.fixture(scope='session'  )
def 							A						(				)    ->		Dict:

       """simple docstring"""





       return DATA_DICT_OF_LISTS


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: List[str]  )    ->		str:

       """simple docstring"""





       __magic_name__      				=    datasets.Dataset.from_dict(__snake_case  )
       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset.arrow'  )
       dataset.map(cache_file_name=__snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: List[str]  )    ->		str:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset.sqlite'  )
       with contextlib.closing(sqlitea.connect(__snake_case  )  ) as con:
              __magic_name__      				=    con.cursor()
              cur.execute('CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)'  )
              for item in DATA:
                     cur.execute('INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)' ,     tuple(item.values()  )  )
              con.commit()
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Optional[Any]  )    ->		Any:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset.csv'  )
       with open(__snake_case ,     'w' ,     newline=''  ) as f:
              __magic_name__      				=    csv.DictWriter(__snake_case ,     fieldnames=['col_1', 'col_2', 'col_3']  )
              writer.writeheader()
              for item in DATA:
                     writer.writerow(__snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: str  )    ->		int:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset2.csv'  )
       with open(__snake_case ,     'w' ,     newline=''  ) as f:
              __magic_name__      				=    csv.DictWriter(__snake_case ,     fieldnames=['col_1', 'col_2', 'col_3']  )
              writer.writeheader()
              for item in DATA:
                     writer.writerow(__snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Union[str, Any] ,     __snake_case: Any  )    ->		Union[str, Any]:

       """simple docstring"""





       import bza

       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset.csv.bz2'
       with open(__snake_case ,     'rb'  ) as f:
              __magic_name__      				=    f.read()
       # data = bytes(FILE_CONTENT, "utf-8")
       with bza.open(__snake_case ,     'wb'  ) as f:
              f.write(__snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Any ,     __snake_case: Optional[int] ,     __snake_case: Optional[int]  )    ->		str:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset.csv.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
              f.write(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Optional[Any] ,     __snake_case: Any ,     __snake_case: Optional[Any]  )    ->		List[Any]:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset.csv.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.basename(csv_path.replace('.csv' ,     '.CSV'  )  )  )
              f.write(__snake_case ,     arcname=os.path.basename(csva_path.replace('.csv' ,     '.CSV'  )  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Tuple ,     __snake_case: Tuple ,     __snake_case: Optional[int]  )    ->		int:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset_with_dir.csv.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.join('main_dir' ,     os.path.basename(__snake_case  )  )  )
              f.write(__snake_case ,     arcname=os.path.join('main_dir' ,     os.path.basename(__snake_case  )  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Any  )    ->		Optional[Any]:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset.parquet'  )
       __magic_name__      				=    pa.schema(
           {
               'col_1': pa.string(),
               'col_2': pa.intaa(),
               'col_3': pa.floataa(),
           }  )
       with open(__snake_case ,     'wb'  ) as f:
              __magic_name__      				=    pq.ParquetWriter(__snake_case ,     schema=__snake_case  )
              __magic_name__      				=    pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(__snake_case  )  )] for k in DATA[0]} ,     schema=__snake_case  )
              writer.write_table(__snake_case  )
              writer.close()
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Union[str, Any]  )    ->		Optional[Any]:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset.json'  )
       __magic_name__      				=    {'data': DATA}
       with open(__snake_case ,     'w'  ) as f:
              json.dump(__snake_case ,     __snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: List[str]  )    ->		Optional[Any]:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset.json'  )
       __magic_name__      				=    {'data': DATA_DICT_OF_LISTS}
       with open(__snake_case ,     'w'  ) as f:
              json.dump(__snake_case ,     __snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Any  )    ->		Optional[Any]:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset.jsonl'  )
       with open(__snake_case ,     'w'  ) as f:
              for item in DATA:
                     f.write(json.dumps(__snake_case  ) + '\n'  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: int  )    ->		List[str]:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset2.jsonl'  )
       with open(__snake_case ,     'w'  ) as f:
              for item in DATA:
                     f.write(json.dumps(__snake_case  ) + '\n'  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Tuple  )    ->		str:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset_312.jsonl'  )
       with open(__snake_case ,     'w'  ) as f:
              for item in DATA_312:
                     f.write(json.dumps(__snake_case  ) + '\n'  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Tuple  )    ->		Any:

       """simple docstring"""





       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset-str.jsonl'  )
       with open(__snake_case ,     'w'  ) as f:
              for item in DATA_STR:
                     f.write(json.dumps(__snake_case  ) + '\n'  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Tuple ,     __snake_case: Optional[Any]  )    ->		Union[str, Any]:

       """simple docstring"""





       import gzip

       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset.txt.gz'  )
       with open(__snake_case ,     'rb'  ) as orig_file:
              with gzip.open(__snake_case ,     'wb'  ) as zipped_file:
                     zipped_file.writelines(__snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: List[Any] ,     __snake_case: List[str]  )    ->		Tuple:

       """simple docstring"""





       import gzip

       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset.jsonl.gz'  )
       with open(__snake_case ,     'rb'  ) as orig_file:
              with gzip.open(__snake_case ,     'wb'  ) as zipped_file:
                     zipped_file.writelines(__snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: int ,     __snake_case: int ,     __snake_case: List[str]  )    ->		Tuple:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset.jsonl.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
              f.write(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: List[Any] ,     __snake_case: List[str] ,     __snake_case: Optional[int] ,     __snake_case: Optional[Any]  )    ->		str:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset_nested.jsonl.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.join('nested' ,     os.path.basename(__snake_case  )  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: List[Any] ,     __snake_case: Optional[Any] ,     __snake_case: Any  )    ->		Any:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset_with_dir.jsonl.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.join('main_dir' ,     os.path.basename(__snake_case  )  )  )
              f.write(__snake_case ,     arcname=os.path.join('main_dir' ,     os.path.basename(__snake_case  )  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: str ,     __snake_case: Dict ,     __snake_case: List[str]  )    ->		Any:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset.jsonl.tar'
       with tarfile.TarFile(__snake_case ,     'w'  ) as f:
              f.add(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
              f.add(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Tuple ,     __snake_case: Tuple ,     __snake_case: Dict ,     __snake_case: Tuple  )    ->		Union[str, Any]:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset_nested.jsonl.tar'
       with tarfile.TarFile(__snake_case ,     'w'  ) as f:
              f.add(__snake_case ,     arcname=os.path.join('nested' ,     os.path.basename(__snake_case  )  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: str  )    ->		Tuple:

       """simple docstring"""





       __magic_name__      				=    ['0', '1', '2', '3']
       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset.txt'  )
       with open(__snake_case ,     'w'  ) as f:
              for item in data:
                     f.write(item + '\n'  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Dict  )    ->		Optional[int]:

       """simple docstring"""





       __magic_name__      				=    ['0', '1', '2', '3']
       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset2.txt'  )
       with open(__snake_case ,     'w'  ) as f:
              for item in data:
                     f.write(item + '\n'  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: str  )    ->		Dict:

       """simple docstring"""





       __magic_name__      				=    ['0', '1', '2', '3']
       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset.abc'
       with open(__snake_case ,     'w'  ) as f:
              for item in data:
                     f.write(item + '\n'  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: List[str] ,     __snake_case: Any ,     __snake_case: int  )    ->		Dict:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset.text.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
              f.write(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Optional[int] ,     __snake_case: Dict ,     __snake_case: Optional[Any]  )    ->		str:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset_with_dir.text.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.join('main_dir' ,     os.path.basename(__snake_case  )  )  )
              f.write(__snake_case ,     arcname=os.path.join('main_dir' ,     os.path.basename(__snake_case  )  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Any ,     __snake_case: Union[str, Any] ,     __snake_case: Optional[Any]  )    ->		List[Any]:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset.ext.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.basename('unsupported.ext'  )  )
              f.write(__snake_case ,     arcname=os.path.basename('unsupported_2.ext'  )  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: int  )    ->		int:

       """simple docstring"""





       __magic_name__      				=    '\n'.join(['First', 'Second\u2029with Unicode new line', 'Third']  )
       __magic_name__      				=    str(tmp_path_factory.mktemp('data'  ) / 'dataset_with_unicode_new_lines.txt'  )
       with open(__snake_case ,     'w' ,     encoding='utf-8'  ) as f:
              f.write(__snake_case  )
       return path


@pytest.fixture(scope='session'  )
def 							A						(				)    ->		Optional[int]:

       """simple docstring"""





       return os.path.join('tests' ,     'features' ,     'data' ,     'test_image_rgb.jpg'  )


@pytest.fixture(scope='session'  )
def 							A						(				)    ->		Dict:

       """simple docstring"""





       return os.path.join('tests' ,     'features' ,     'data' ,     'test_audio_44100.wav'  )


@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Optional[int] ,     __snake_case: Any  )    ->		Tuple:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data'  ) / 'dataset.img.zip'
       with zipfile.ZipFile(__snake_case ,     'w'  ) as f:
              f.write(__snake_case ,     arcname=os.path.basename(__snake_case  )  )
              f.write(__snake_case ,     arcname=os.path.basename(__snake_case  ).replace('.jpg' ,     '2.jpg'  )  )
       return path






@pytest.fixture(scope='session'  )
def 							A						(				__snake_case: Union[str, Any]  )    ->		Optional[int]:

       """simple docstring"""





       __magic_name__      				=    tmp_path_factory.mktemp('data_dir'  )

       (data_dir / "subdir").mkdir()
       with open(data_dir / 'subdir' / 'train.txt' ,     'w'  ) as f:
              f.write('foo\n' * 1_0  )
       with open(data_dir / 'subdir' / 'test.txt' ,     'w'  ) as f:
              f.write('bar\n' * 1_0  )
       # hidden file
       with open(data_dir / 'subdir' / '.test.txt' ,     'w'  ) as f:
              f.write('bar\n' * 1_0  )

       # hidden directory
       (data_dir / ".subdir").mkdir()
       with open(data_dir / '.subdir' / 'train.txt' ,     'w'  ) as f:
              f.write('foo\n' * 1_0  )
       with open(data_dir / '.subdir' / 'test.txt' ,     'w'  ) as f:
              f.write('bar\n' * 1_0  )

       return data_dir







"""simple docstring"""
import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property



@unittest.skipUnless(os.path.exists(a_)							,	"""Tatoeba directory does not exist.""")
class        UpperCamelCase__ (				unittest.TestCase):







    """simple docstring"""







    @cached_property
    def 				a__			(		self :	int ):





           '''simple docstring'''

           __magic_name__      				=    tempfile.mkdtemp()
           return TatoebaConverter(save_dir=UpperCamelCase_ )







    @slow
    def 				a__			(		self :	List[str] ):





           '''simple docstring'''

           self.resolver.convert_models(['heb-eng'] )







    @slow
    def 				a__			(		self :	Tuple ):





           '''simple docstring'''

           __magic_name__				,  __magic_name__      				=    self.resolver.write_model_card('opus-mt-he-en'				,    dry_run=UpperCamelCase_ )
           assert mmeta["long_pair"] == "heb-eng"